Performance Data Analyst
Atlanta, GA, US
U.S. Soccer Federation
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U.S. Soccer Overview
We are U.S. Soccer and we are the future of sport in the United States. Our mission is to make soccer the preeminent sport in the United States. We embrace diversity, technology and global connections to drive the growth of our sport and serve our athletes and fans. We seek motivated, passionate, skilled people who can think, create and work on a team.
U.S. Soccer is a growing company that looks for team members to grow with it. U.S. Soccer offers a comprehensive compensation package, casual work environment, an inclusive culture and an atmosphere for professional development.
The Federation’s core principles set organization-wide standards to identify and foster our culture and inform how we interact and hold each other accountable. These principles guide U.S. Soccer: We Win Together. We Aim High. We Champion Diversity, Equity & Inclusion. To be successful as a USSF employee, it is critical to demonstrate and live up to these principles every day and with every interaction with peers, stakeholders, and partners.
The Federation’s core values are the individual attributes and characteristics that staff embody to uphold the organization’s principles and succeed. These values guide our employees: Integrity. Commitment. Teamwork. Respect.
U.S. Soccer is in a period of significant growth, with ambitions plans for US soccer in the near and far future. We are therefore, looking for dynamic servant-leaders to join us on this journey: in service to soccer. Applicants must be able to demonstrate visionary leadership, analytical decision-making, professional flexibility and an empathic approach that contributes to bold teams and delivers globally significant results.
Position Description
The Performance Data Analyst will be responsible for delivering data insights from the Data Analytics Department to the coaching and performance staff across all national teams with a focus on Sport Science. Their role will be to ensure that any ad-hoc performance specific questions are answered quickly and in a clear and effective manner making extensive use of data visualization, as well as developing and maintaining regular performance reports.
Primary Responsibilities
- Quickly answer any ad-hoc questions from the coaching and performance staff balancing effective and thorough work with quick turnaround times
- Responsible for building out and maintaining automated reports including physical testing, daily monitoring, and load monitoring
- Build out a library of data visualizations based on the metrics and KPIs developed by the data analytics team
- Iterate on existing reports and visualizations with feedback from performance staff, working closely with sport scientists
- Standardize reporting strategies across teams – agnostic to the different technologies used across each team
- Develop reporting structures to track national team pool players in their club environments
- Work with performance staff on developing series of KPIs to accurately monitor player wellbeing and performance
- Support data analytics team on longer term projects ensuring alignment with national team requirements
Requirements
Minimum Qualifications
- Bachelor’s Degree or Post-Secondary Qualification in Kinesiology, Sport Science, Mathematics, Computer Science or equivalent area of study
- Strong sport science and performance knowledge
- Strong data visualization background
- Comfortable using data science programming languages such as Python or R
- Ability to query SQL-style databases
- Excellent communication skills, particularly in presenting data concepts to non-technical audience
- 0-5 years experience working with coaches and/or performance staff
- Previous experience working in a professional or college sporting environment
- Strong interpersonal skills, with the ability to communicate and work with various different management styles and coaches
- Capable of working in fast-paced and demanding environments
- Must be able to connect “micro” details to the “macro” vision and mission
- Proficient experience with Microsoft Suite (Word, PowerPoint, Excel, and Outlook)
- Proven ability to work to tight timelines and deliver high quality work able and willing to travel up to 15% of the year
- Able and willing to work non-traditional hours including evenings and weekends as needed
- General knowledge of soccer
- Capable of working in fast-paced and demanding environments
- Must be able to connect “micro” details to the “macro” vision and mission
- Proficient experience with Microsoft Suite (Word, PowerPoint, Excel, and Outlook)
Desired Qualifications
- Previous experience in a sport science or high performance role at an elite level
- Strong knowledge and understanding of the overall soccer landscape in the U.S.
- Strong verbal, written, in-person and presentation communication skills
- Coaching and/or playing experience preferred
- Bilingual (English, Spanish, or other)
- Knowledge of sport science software and workflows (GPS/LPS, ACWR, force plates, etc.)
- Experience with cloud based data architecture such as AWS, GCP or Azure
- Ability to work in version control with Git
- Thorough institutional knowledge of U.S. Soccer’s mission, goals, technical plan, policies, practices, and procedures
U.S Soccer is an equal opportunity employer that is committed to diversity, equity and inclusion, and prohibits discrimination and harassment of any kind on the basis of race, color, sex, religion, national origin, citizenship, pregnancy, sexual orientation, gender identity, age, disability, genetic information, military status, political belief, or any other characteristic protected under the law. This policy applies to all our employment practices within our organization.
We strongly encourage women, people of color, LGBTQIA, veterans, parents, and persons with disabilities to apply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Computer Science Data Analytics Data visualization Excel GCP Git KPIs Mathematics Python R SQL Testing
Perks/benefits: Equity / stock options Startup environment
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